Hybrid

M-KOPA is hiring a Data Analyst - Credit Eligibility

About the Role

The role involves analyzing customer data to determine creditworthiness, building models to assess risk, and generating insights that inform lending policies and improve decision accuracy.

Responsibilities

  • Evaluate customer data to determine credit eligibility
  • Develop and maintain risk assessment models
  • Analyze patterns in repayment behavior
  • Generate regular reports on credit performance
  • Collaborate with lending teams to refine approval criteria
  • Identify data quality issues affecting credit decisions
  • Monitor changes in default rates over time
  • Support the creation of automated decision workflows
  • Validate model accuracy and predictive power
  • Translate business requirements into analytical frameworks
  • Improve data collection processes for credit scoring
  • Conduct ad hoc analyses for risk-related inquiries
  • Present findings to stakeholders in clear formats
  • Ensure compliance with internal risk policies
  • Track the performance of new credit products

Compensation

Competitive salary based on experience and performance

Work Arrangement

Full-time, remote or hybrid options available

Team

Part of the risk and analytics unit focused on credit decisioning

Our Impact

We enable access to essential products through affordable credit for underserved populations using mobile technology and data-driven insights.

Growth Opportunities

Analysts can advance into senior modeling, risk strategy, or data science roles with demonstrated impact and initiative.

Available for qualified candidates requiring work authorization

Required Skills
PythonSQLData AnalysisStatistical AnalysisData ModelingData VisualizationETLA/B TestingProblem Solving
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About company
M-KOPA
M-KOPA serves over 6 million customers across Africa, unlocking $1.5 billion in cumulative credit for the unbanked. The company focuses on financial inclusion and digital transformation in emerging markets, particularly through technology-driven solutions in finance and operations.
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Posted 7 months ago